A naukri.com initiative
Robotics News
The Robot Report
1M
295
Industry experts share their outlook on the future of AMRs
- AMRs have evolved into one of the fastest-growing types of robots in the industry.
- In 2023, the mobile robot market reached $4.5 billion and is predicted to grow by over 20% annually up to 2030.
- Customer perceptions of AMRs are changing due to concerns about technology reliability and costs.
- AMR manufacturers are addressing customer concerns by showcasing operational efficiencies to dispel fears.
- The need for robots to communicate with each other from different brands is growing in warehouse automation.
- Advancements in AI, particularly large language models, are anticipated to revolutionize how robots are trained.
- AI integration could streamline AMR deployments, making them more adaptable to varied environments.
- Perception systems of AMRs are set to greatly benefit from AI advancements for enhanced productivity.
- Mobile manipulators are emerging as a cost-effective and versatile option compared to humanoid robots.
- Challenges such as throughput versus footprint remain for AMRs, affecting their scalability in high-volume operations.
- Despite challenges, there are growth opportunities in e-commerce, food delivery, and last-mile delivery markets for AMRs.
Read Full Article
17 Likes
IEEE Spectrum
1M
22
Image Credit: IEEE Spectrum
Video Friday: Atlas Robot Sees the World
- Video Friday is your weekly selection of awesome robotics videos by IEEE Spectrum.
- Upcoming robotics events include IEEE RCAR 2025 in Japan, RSS 2025 in Los Angeles, and more.
- Recent developments showcased include a bipedal robot test in a moving truck and a smooth-walking controller for quadruped guide robots.
- RIVR and Veho partnering to pilot delivery robots in Austin, Texas, highlighting advancements in physical AI and robotics.
Read Full Article
1 Like
Unite
1M
391
Image Credit: Unite
Taming the Social Chaos: AI’s Quiet Revolution in Marketing
- AI is bringing structured systems of scale and measurement to marketing's chaotic frontiers, transforming social media into a conversion engine.
- Previously, social media marketing lacked measurable outcomes, creating a gap between engagement and business results.
- AI enables authentic presence at scale, allowing creators and brands to engage with large audiences effectively and maintain their voice.
- Measurable conversion pathways are becoming possible through AI-powered conversation systems, tracking progress from attention to purchase.
- Marketers can optimize content themes, audience segments, and conversation flows based on insights gathered from AI-driven interactions.
- For individual creators, AI tools help transform audience engagement into sustainable revenue streams by qualifying leads and guiding conversations.
- Brands can increase campaign effectiveness by partnering with creators who use AI for lead generation and performance marketing.
- The shift towards systematic influence means social platforms are evolving into sales and relationship-building engines rather than just awareness channels.
- Investing in intelligent conversation systems will provide brands and creators with sustainable competitive advantages in the evolving marketing landscape.
- AI is making social media marketing more systematic, measurable, and scalable while preserving the authenticity that drives its effectiveness.
Read Full Article
23 Likes
Unite
1M
241
Image Credit: Unite
REimagine Home Review: See My Room’s Instant Makeover
- REimagine Home is an AI platform that transforms real estate photos using artificial intelligence algorithms to generate photorealistic room makeovers and landscaping designs.
- The platform offers users a simple three-step process to upload a photo, select a service type, and add specific instructions for quick transformations.
- Compared to traditional staging costing $1,500-3,000 per property, REimagine Home's subscription allows for significantly more cost-effective staging options.
- REimagine Home caters to real estate professionals, interior designers, photographers, homeowners, property developers, and vacation rental owners for various staging purposes.
- Key features of REimagine Home include AI-powered interior and exterior design, customizable options, 3D visualization, virtual staging, and decluttering capabilities.
- The platform is user-friendly and delivers fast, realistic room transformation results, making it an effective tool for those seeking quick design ideas.
- REimagine Home stands out for its instant room transformations, while alternatives like Planner 5D, Homestyler, and Foyr Neo offer different strengths in customization and features.
- The article also provides a detailed comparison of REimagine Home with these top three alternatives, highlighting their unique functionalities and target users.
- Users interested in AI-designed staging can benefit from REimagine Home's efficiency, cost-effectiveness, and ease of use, making it a valuable tool for various design needs.
- The review provides insights on the user experience of using REimagine Home, emphasizing its simplicity and speed in creating visually appealing room makeovers.
- Overall, REimagine Home offers a time-saving solution for those looking to visualize design concepts quickly, with the free version providing a chance to test its functionality.
Read Full Article
14 Likes
Discover more
Unite
1M
409
Image Credit: Unite
Mauricio Vergara, CEO & Co-Founder of Kapwork – Interview Series
- Mauricio Vergara is the CEO & Co-Founder of Kapwork, aiming to streamline revenue-based financing for small businesses.
- Inspired by his experience as a small business owner and working at Google and Unity, Vergara saw the need for a better funding solution.
- Kapwork simplifies financing by connecting businesses with funders transparently, empowering entrepreneurs to grow on their terms.
- Invoice factoring is crucial for small businesses, and Kapwork's AI-driven platform aims to revolutionize this process.
- Kapwork's self-healing AI agents automate data retrieval from vendor portals, enhancing efficiency and reliability.
- The platform verifies invoices in seconds, a process that used to take 1-2 days manually, boosting operational speed.
- Kapwork's AI system aids in fraud detection through anomaly detection, improving security and transparency in financial transactions.
- AI streamlines deal flow for invoice buyers on Kapwork, accelerating underwriting processes and enabling faster deployment of capital.
- Lessons from leadership roles at Google and Unity have shaped Vergara as a leader, emphasizing the importance of clear vision and team collaboration.
- Vergara envisions AI further transforming the financial services industry, particularly benefiting underserved SMB segments by offering more tailored solutions.
Read Full Article
24 Likes
Unite
1M
127
Image Credit: Unite
The Future of AI in Healthcare: Connecting Patient Data Across Care Settings to Improve Preventative Care
- In healthcare, providers struggle with excessive data but lack insights, as 97% of data remains unused due to extraction challenges.
- AI is increasingly used to enhance patient safety event analysis and streamline incident reporting in hospitals and health systems.
- AI is also applied to remote patient monitoring tools, aiding in quick data processing and integration for better care quality and insights.
- The lack of data sharing between care settings leads to inefficiencies, delays, and errors in diagnosis and medication administration.
- Effective data sharing is crucial for care coordination, reducing errors, and enhancing workforce efficiency in healthcare.
- AI can assist in connecting and interpreting data from different care settings, providing valuable insights into patient conditions and trends.
- Continuous AI-supported data exchange can minimize administrative burden and enable proactive care to anticipate patient needs and improve treatments.
- By leveraging AI tools and data connectivity, hospitals can transition from reactive to preventative care strategies for better patient outcomes.
- While AI tools are still evolving, the potential is promising for transforming care delivery and ensuring safer and more proactive healthcare practices.
- AI has the capacity to revolutionize patient care by amalgamating data from various sources to focus on holistic care rather than just symptoms.
Read Full Article
7 Likes
Unite
1M
448
Image Credit: Unite
How Automation Is Quietly Reshaping Ecommerce Fulfillment
- Ecommerce fulfillment faces challenges such as tariffs, carrier rate hikes, and tighter delivery expectations, requiring real-time adaptation and smarter decisions with the help of AI.
- AI-driven order routing offers more flexibility by considering cost and service factors for each order, ensuring adaptability and customer satisfaction during turbulent times.
- Predictive inventory placement using AI models allows brands to forecast demand accurately and strategically split inventory to leverage a multi-node fulfillment network efficiently.
- Automated carrier selection provides live intelligence on delivery trends, congestion risks, and carrier performance, enabling brands to optimize and defend customer experience.
- Automation in fulfillment leads to faster, smarter decisions backed by live data, offering resilience and improved customer satisfaction in a volatile market.
- Smarter fulfillment is now crucial for brands' growth strategy, driving conversion rates, retention, expansion into new regions, and cash flow protection in the face of market disruptions.
- AI-driven advancements like returns management, real-time inventory rebalancing, SKU risk modeling, and performance management are set to further revolutionize ecommerce fulfillment.
- Automated logistics systems empower brands to navigate disruptions and build flexible supply chains that drive growth and success in the evolving ecommerce landscape.
- Automation in fulfillment is not just a trend but a necessity for brands looking to thrive amidst challenges and uncertainties, making faster insights and pivots essential for better outcomes.
Read Full Article
26 Likes
Unite
1M
427
Image Credit: Unite
Buildots Raises $45 Million to Accelerate AI-Powered Transformation in Construction
- Buildots has secured $45 million in funding to drive AI-powered advancements in construction management.
- The funding round saw participation from investors like Qumra Capital, OG Venture Partners, and TLV Partners among others.
- Buildots utilizes AI and computer vision technology to optimize on-site progress tracking and project management.
- Their platform reduces delays by up to 50% and offers substantial cost savings in construction projects.
- By leveraging AI, Buildots provides insights from historical data for enhanced project performance and issue anticipation.
- The company's AI assistant, Dot, aids construction managers in real-time decision-making through NLP interactions.
- Buildots plans to expand its presence in North America and strengthen partnerships with key contractors in the UK.
- The construction industry is increasingly adopting AI technologies like Buildots to enhance operational efficiencies.
- AI-driven solutions are transforming project management by enabling better tracking, analytics, and decision-making.
- Buildots' AI and computer vision integration is propelling the industry towards a data-driven and proactive construction approach.
Read Full Article
25 Likes
Unite
1M
200
Image Credit: Unite
Unbound Raises $4M to Bring Enterprise-Grade Control to the AI Revolution
- Unbound, a San Francisco-based startup, has secured a $4 million seed round to help enterprises safely adopt AI.
- The company is focused on AI governance and aims to address the challenges introduced by 'shadow AI' adoption in businesses.
- Unbound's platform acts as an AI Gateway, offering fine-grained controls, redaction, model routing, and usage analytics.
- One innovative feature is real-time prompt redaction, scanning requests for sensitive data and automatically redacting secrets.
- Unbound's routing logic is driven by usage patterns and model performance metrics, optimizing AI model usage.
- The co-founders have deep backgrounds in enterprise software and security, focusing on enabling AI innovation without compromising security.
- Unbound's vision aligns with the growing need for centralized management and transparency in enterprise AI usage.
- With the funding, Unbound plans to expand integrations, enhance observability features, and support internal and open-source model orchestration.
- Unbound positions itself as essential infrastructure for controlled and intelligent AI adoption in enterprises.
- The funding reflects the industry's focus on building infrastructure for secure, observable, and governance-driven AI adoption.
Read Full Article
12 Likes
The Robot Report
1M
54
How Boston Dynamics’ Atlas humanoid adapts to changing environments
- Boston Dynamics showcased its electric Atlas humanoid in a video, highlighting its real-time perception and adaptability in changing environments.
- Atlas actively registers its frame of reference for tasks, updating its understanding of the world to handle parts effectively.
- The humanoid can perceive and evaluate the topology of objects, adapting to pick them up and place them with precision.
- Boston Dynamics demonstrated Atlas locating and picking up a dropped part, showcasing its ability to hear, locate, and handle objects.
- Atlas uses object pose estimation models trained with synthetic data to estimate object poses from camera images.
- The humanoid robot can adapt and maintain task objectives in chaotic environments, making changes on the go.
- Modern robot vision guidance employs vision language models to understand the environment in 3D and update the world map continuously.
- Boston Dynamics' demo reflects a blend of AI-based functions and procedural programming for managing missions.
- Atlas demonstrates a mix of motion capture and AI decision-making in its movements, showcasing its adaptability and agility.
- Real-time processing allows Atlas to comprehend its environment, make decisions, and adapt, with the potential for faster processing in the future.
Read Full Article
3 Likes
The Robot Report
1M
232
Dexterity partners with Sanmina to scale Mech mobile manipulator
- Dexterity partners with Sanmina to scale its Mech mobile manipulator, aimed at truck loading and equipped with AI technology.
- The partnership with Sanmina will leverage their manufacturing expertise to accelerate the commercialization of Dexterity's AI-driven robots.
- Dexterity's Mech robot, known as an industrial 'superhumanoid,' is designed for tasks like lifting, loading, packing, and palletizing autonomously.
- Sanmina's collaboration will help meet the growing demand for Mech across various industry sectors and ensure quality production in California.
Read Full Article
13 Likes
Unite
1M
182
Image Credit: Unite
New Research Papers Question ‘Token’ Pricing for AI Chats
- New research highlights issues with token-based billing for AI services, where providers can manipulate token counts to overcharge users without detection.
- Token pricing in AI chat interfaces, like ChatGPT-4o, relies on invisible units of text counted precisely for billing, leaving users in the dark about actual costs.
- The lack of visibility in token calculation leads to users paying for more than perceived, as hidden steps and inflated counts impact billing.
- Tokens represent text units like words or fragments, but users have no way to verify counts during AI interactions, creating a disconnect.
- Research exposes how providers can overcharge by manipulating token counts invisibly, leading to users paying more than justified.
- Proposed solution suggests character-based billing to promote honest reporting and fair pricing in AI chat services.
- Transition to character-based pricing may require legislation, but it could deter token inflation and reward efficiency in output.
- Second paper discusses hidden operations in AI models, where users are billed for unseen internal processes, leading to opaque billing practices.
- Auditing frameworks are proposed to address hidden charges and ensure transparency in AI service billing to protect users from unverified costs.
- Authors highlight the need for auditing systems like CoIn to verify hidden tokens without revealing contents, aiming to prevent token count inflation.
Read Full Article
10 Likes
Dev
1M
259
Image Credit: Dev
Generative AI in Manufacturing: Revolutionizing Robotics, Predictive Maintenance, and Operations
- Generative AI is revolutionizing the manufacturing industry by enabling intelligent systems that learn, adapt, and make autonomous decisions in real time, surpassing traditional automation.
- Integration of generative AI with IoT sensors, advanced analytics, and robotics is creating smart factories with remarkable efficiency, reducing decision-making times and yielding annual cost savings.
- Generative AI creates self-aware, adaptive, and optimized production environments by analyzing vast datasets to make autonomous decisions, leading to faster decision-making and reduced production bottlenecks.
- AI provides predictive insights that optimize workflows, anticipate challenges, and recommend control strategies, resulting in improved OEE and energy conservation.
- AI-powered predictive maintenance uses machine learning and real-time data to predict equipment failures accurately, reducing unplanned downtime and extending equipment lifespan.
- Generative AI transforms robotics by creating intuitive, adaptive machines capable of complex decision-making and excelling in human-robot collaboration.
- AI enables multi-robot coordination for complex tasks, optimizing production flows and improving quality control across industries like automotive, electronics, and logistics.
- Generative AI drives Industry 5.0 by emphasizing sustainability, human-centric design, and large-scale customization while reducing carbon footprints and promoting market agility.
- Challenges for generative AI include data quality, workforce upskilling, and cybersecurity risks, which can be addressed through investments in training, infrastructure, and security.
- Overall, generative AI is reshaping manufacturing operations by enhancing efficiency, sustainability, and customization, leading to transformative results for businesses.
Read Full Article
15 Likes
Unite
1M
350
Image Credit: Unite
Creatify Raises $15.5M Series A, Redefines Video Advertising with AI
- Creatify, an AI platform revolutionizing video advertising, secured $15.5M in Series A funding led by WndrCo and Kindred Ventures.
- The total funding for Creatify now stands at $23M, with notable early investors like NFDG, Millennium New Horizons, and others.
- Creatify's platform, trusted by global brands such as Alibaba.com and Comcast, automates video ad creation using generative AI, resulting in $9M in annual recurring revenue in just 18 months.
- The company's new AdMax tool, powered by AI, automates creative inspiration, production, testing, and optimization, positioning Creatify as a game-changer in the advertising industry.
Read Full Article
21 Likes
Unite
1M
214
Image Credit: Unite
Why Bad Product Data Is Costing Fashion More Than Ever and Where AI Fits In
- In the fashion industry, accurate product data is crucial for successful online retail operations, impacting everything from logistics to customer trust.
- Research shows that a majority of e-commerce leaders admit to having incomplete or inaccurate product data, leading to delays, limited visibility, customer frustration, and increased returns.
- Multimodal AI, which can process both images and text, is emerging as a solution to the challenges posed by managing complex product data in fashion.
- Errors in product data can lead to cart abandonment and decreased sales, with a significant portion of returns attributed to misrepresented or incomplete product information.
- Fashion product data complexities arise from inconsistent catalog management, varied retailer requirements, and manual processes, resulting in significant time spent on data correction.
- Multimodal AI utilizes vision-language models to analyze and standardize product data, reducing manual workloads and speeding up data processing with high accuracy.
- Clean and well-organized product data improves search visibility, launch efficiency, customer experience, and reduces return rates, benefitting the entire retail operation.
- Multimodal AI helps brands adapt to evolving marketplace requirements efficiently, automating tasks like image generation, attribute tagging, and description tailoring.
- By integrating AI tools to manage product data effectively, brands can focus on creativity and innovation, while AI handles repetitive tasks, ensuring scalability and operational success.
- In a rapidly evolving fashion industry, leveraging AI for managing product data is essential for brands to stay competitive and meet the demands of various online retail platforms.
Read Full Article
12 Likes
For uninterrupted reading, download the app